An Uzbek Medical-Domain Dataset for Aspect-Based Sentiment Analysis
Description
UzMedSentiment is a manually annotated Uzbek medical-domain dataset designed for sentiment classification, aspect-based sentiment analysis, and auxiliary linguistic signal detection. This dataset contains 4,791 annotated text instances collected from various online sources such as Telegram, Instagram, forums, and web comments. Each instance is provided in a structured tabular format and includes the following fields: text content, aspect category, sentiment label, polarity score, and source metadata. In addition, the dataset provides rich linguistic and clinical annotations, including adverse drug reaction (ADR) flags, severity levels, negation, speculation, sarcasm, and cue-span information. The dataset is intended to support research in Uzbek natural language processing (NLP), clinical text mining, opinion mining, and low-resource language technologies. It can be used for developing and evaluating machine learning and deep learning models for medical sentiment analysis and fine-grained linguistic signal detection. Data format: The dataset is provided in both XLSX and TSV formats. Each row corresponds to a single annotated instance, and the TSV version is recommended for machine learning and NLP tasks.
Files
Steps to reproduce
1. Download the dataset files (XLSX or TSV format) from the Mendeley Data repository. 2. Load the dataset using a data processing library such as pandas: import pandas as pd df = pd.read_csv("UzMedSentiment.tsv", sep="\t") 3. Inspect the dataset structure and fields: df.head() 4. Preprocess the text data if necessary (e.g., tokenization, normalization). 5. Use the dataset for training and evaluation of NLP models for tasks such as: - sentiment classification - aspect-based sentiment analysis - linguistic signal detection (negation, sarcasm, speculation) 6. Split the dataset into training and test sets or apply cross-validation. 7. Train machine learning or deep learning models using the provided annotations.
Institutions
- National University of UzbekistanTashkent, Tashkent